Deep Java Library (DJL) is an open source, high-level, framework-agnostic Java API for deep learning. It is designed to be easy to get started with and simple to use for Java developers.

You can get a good feel for the coverage by counting the samples: 54 Java and 60 Scala machine learning examples, 52 Python machine learning examples, and only five R examples.

Released under Apache License 2.0, Deeplearning4j (DL4J) is an open-source, distributed deep learning library written for Java and Java Virtual Machine (JVM) languages.

Skymind, a company developing an open-source deep-learning library for Java, along with tools for implementation, today closed $3 million in financing from Tencent, SV Angel, GreatPoint Ventures ...

Deep learning is so popular today due to two main reasons. First it was discovered that CNNs run much faster on GPUs, such as NVidia‘s Tesla K80 processor. Secondly, data scientists realized that the ...

Swift, notes Burkov, has static typing and low availability of machine learning libraries/data analysis. Other options suggested by contributors in the same thread are Golang, Julia, and Rust.

Elix, Inc., an AI drug discovery company with the mission of “Rethinking Drug Discovery” (CEO: Shinya Yuki/Headquarters: Tokyo, Japan; hereinafter ref ...

Oh, and there’s a whole lot of statistics in there as well. Today, machine learning’s massive success has led to it becoming the most dominant subset of AI that is practiced around the world.